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Artificial intelligence can analyse large amounts of information, detect patterns and accelerate research. But recognising patterns is not the same as understanding a culture.
A culture is also built through shared references, experiences, emotions, irony, historical context and implicit meanings. And those nuances can completely change how a brand, a name or a message is perceived in another market.
That is why the value lies not in choosing between AI and human knowledge, but in combining both. AI expands possibilities; research provides evidence; local experts provide context; and judgment turns all of this into better decisions.
In international branding, the challenge is no longer to generate more information. It is to interpret it better.
Since the emergence of large language models, one of the most frequently asked questions in branding, marketing and research seems simple: can artificial intelligence really understand culture?
The question is fascinating because, in a sense, the answer is yes and, at the same time, no.
The key is to understand that recognising patterns is not necessarily the same as understanding, just as interpreting a culture is not simply a matter of processing information about it.
Perhaps the question is not whether AI can understand a culture
Perhaps the more interesting question is not “can AI understand a culture?”, but another one: what does it really mean to understand a culture?
Human beings do not understand a society through data alone either. We understand it through experiences, emotions, shared references, memories, contradictions, symbols, irony, historical contexts and implicit meanings.
And that is precisely where the issue becomes much more complex.
What AI does extraordinarily well
Artificial intelligence is impressive and can bring enormous value to analysis. It can:
- synthesise enormous amounts of information;
- detect patterns;
- compare scenarios;
- identify trends;
- generate hypotheses;
- explore alternatives;
- accelerate research.
In many respects, AI can analyse far more knowledge than a person could process on their own. That makes it an extraordinarily powerful tool.
The issue, therefore, is not to deny its capabilities, but to understand what kind of knowledge it can provide and where interpretation is still necessary.
Recognising patterns is not the same as understanding
AI works with correlations; human beings experience meaning.
AI can know that certain words generate negative associations, but it does not experience those associations. It can identify that an expression is humorous, but it does not laugh. It can recognise cultural references, but it has not grown up within them.
And that difference is far more important than it may seem when decisions affect a brand, its perception or the way it wants to engage with a market.
Context changes meaning
Culture is deeply contextual. The same word can change meaning completely depending on:
- the region;
- the generation;
- social class;
- tone;
- the historical moment;
- the product category;
- or even the person you are speaking to.
This explains why something that appears correct from a linguistic point of view can feel strange or unconvincing from a cultural perspective.
Culture is not static either
This complexity brings another challenge: cultures are constantly evolving. References, symbols, generational codes, sensitivities and expressions change.
What seems modern today may sound outdated in a few years. And what is acceptable today may acquire new connotations.
These transformations are extraordinarily difficult to model because culture is not a closed system and does not remain static.
Humour, irony and implicit meanings
Some of the most complex dimensions of language are also the most human: irony, sarcasm, double meanings, silences, shared references, taboos, inside jokes and emotions.
These are precisely the elements that make cultures so difficult to translate and, at the same time, so fascinating.
It is not always enough to formally recognise that a sentence contains humour or a reference. The challenge also lies in interpreting what it means within that context and how it will be perceived by those who are part of it.
What AI still does not experience
Artificial intelligence can process information about a society, but it does not belong to a generation, has no childhood memories, has not lived through a political context, does not share a collective history and does not feel nostalgia, pride or cultural shame.
It may seem like a philosophical distinction, but it has very practical consequences.
Brands are built precisely on shared meanings, and those meanings do not exist merely as information available to be processed.
AI, Brand Name Surveys and local experts: a complementary relationship
None of this means that artificial intelligence is insufficient. On the contrary. The question is not whether to use AI or rely on research and human knowledge.
We believe the most powerful combination is one that integrates:
- artificial intelligence;
- structured research;
- Brand Name Surveys;
- local experts;
- and strategic thinking.
AI can expand the possibilities. Experts provide context. Research provides evidence. And interpretation turns that information into decisions.
It is therefore not about choosing between humans or machines. It is about combining intelligences.
The future will not be human or AI
Over the coming years, we will see many discussions about replacement. However, the relevant question will probably be a different one.
Competitive advantage will not come from choosing between human and artificial intelligence. It will come from the ability to combine them.
Because the more accessible the tools become, the scarcer something much harder to automate becomes: judgment.
Generating information, alternatives or hypotheses will become increasingly easy. The difference will lie in knowing what that information means, how to interpret it and what decision to make based on it.
The LVS2 perspective
At LVS2, we see artificial intelligence as an extraordinary support tool, not as a substitute for cultural context, research or strategic thinking.
That is why we combine:
- IA;
- Brand Name Surveys;
- local knowledge;
- and an international network of collaborators and experts;
to help organisations operating across Europe, Asia and Latin America make more informed decisions and reduce uncertainty.
The value does not lie solely in using a tool capable of generating more information or more alternatives. The challenge is no longer to generate more ideas. The challenge is to interpret them better.
Conclusion
Artificial intelligence can learn patterns, recognise relationships and help us explore possibilities. But understanding a culture is much more complex.
Cultures are not simply information. They are shared experiences.
And that is probably one of the reasons why, even in the age of AI, context, interpretation and judgment will remain profoundly human.
Are you exploring international projects or branding processes where culture, perception and artificial intelligence intersect?
At LVS2, we help organisations combine technology, research and local knowledge to make more robust decisions across Europe, Asia and Latin America.
Frequently asked questions
Why is cultural context important for a brand?
Because the same message can be perceived differently depending on the market, generation or context.
Can AI replace local experts or Brand Name Surveys?
No. AI complements the analysis, but experts and research provide context and evidence.
What role can AI play in international branding?
It can accelerate analysis, generate hypotheses and explore alternatives, especially when combined with local knowledge and strategic judgment.
